text stringlengths 0 1.05M | meta dict |
|---|---|
__author__ = 'ferrard'
class LeftRightDoc:
# ---------------------------------------------------------------
# Initialisation
# ---------------------------------------------------------------
def __init__(self, max_width=40):
self._lines = []
self._max_width = max_width
# -------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s07_graph_plotter/exercises/leftright_doc.py",
"copies": "1",
"size": "2178",
"license": "mit",
"hash": -8633863956613814000,
"line_mean": 27.6710526316,
"line_max": 102,
"alpha_frac": 0.4334251607,
"autogenerated": false,
"ratio": 4.0184501845... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import cmath
import math
import numpy as np
# ---------------------------------------------------------------
# Interface
# ----------------------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s06_classes_intro/exercises/exp_apx.py",
"copies": "1",
"size": "2413",
"license": "mit",
"hash": -5244343680362896000,
"line_mean": 22.2019230769,
"line_max": 65,
"alpha_frac": 0.4082055533,
"autogenerated": false,
"ratio": 3.4869942196531793,... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import math
import time
import sys
# ---------------------------------------------------------------
# Interface
# -------------------------------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s02_basic_concepts/solutions/sol_basic_concepts.py",
"copies": "1",
"size": "2570",
"license": "mit",
"hash": -8004328124423649000,
"line_mean": 25.78125,
"line_max": 108,
"alpha_frac": 0.3708171206,
"autogenerated": false,
"ratio": 3.978328173... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import pickle
import math
# ---------------------------------------------------------------
# Class - Book
# -------------------------------------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s06_classes_intro/exercises/book.py",
"copies": "1",
"size": "8256",
"license": "mit",
"hash": 2738001375303842000,
"line_mean": 35.8616071429,
"line_max": 118,
"alpha_frac": 0.5055717054,
"autogenerated": false,
"ratio": 4.009713453132589,
"... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import random
# ---------------------------------------------------------------
# Constants
# ----------------------------------------------------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s09_files_and_random/exercises/monty_hall.py",
"copies": "1",
"size": "3983",
"license": "mit",
"hash": -2566653722969170000,
"line_mean": 31.3902439024,
"line_max": 119,
"alpha_frac": 0.4923424554,
"autogenerated": false,
"ratio": 3.8187919463... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import scipy as sp
from numpy import random as random
# ---------------------------------------------------------------
# Interface
# ------------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s11_dynamic_programming/find_path.py",
"copies": "1",
"size": "6092",
"license": "mit",
"hash": 1158831361633170200,
"line_mean": 28.4347826087,
"line_max": 111,
"alpha_frac": 0.4619172685,
"autogenerated": false,
"ratio": 3.3844444444444446,
... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import scipy as sp
from scipy import linalg as la
# ---------------------------------------------------------------
# Constants
# ----------------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s08_page_rank/page_rank_simple.py",
"copies": "1",
"size": "3928",
"license": "mit",
"hash": 3199921239801911000,
"line_mean": 29.6875,
"line_max": 99,
"alpha_frac": 0.5450610998,
"autogenerated": false,
"ratio": 3.5579710144927534,
"config_t... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import scipy as sp
import matplotlib.pyplot as plt
import math
# ---------------------------------------------------------------
# Class
# -------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s07_graph_plotter/solutions/sol_graph_plotter.py",
"copies": "1",
"size": "7192",
"license": "mit",
"hash": -5636223064491667000,
"line_mean": 32.765258216,
"line_max": 118,
"alpha_frac": 0.476150744,
"autogenerated": false,
"ratio": 3.47223563... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import scipy as sp
import random
import time
# ---------------------------------------------------------------
# Class - Graph
# -----------------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s09_files_and_random/solutions/random_walking.py",
"copies": "1",
"size": "5127",
"license": "mit",
"hash": -4840204356330919000,
"line_mean": 35.1056338028,
"line_max": 116,
"alpha_frac": 0.4735712893,
"autogenerated": false,
"ratio": 4.043375... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import scipy
import math
from pyx import canvas
from pyx import path
from pyx import deco
# ------------------------------------------------------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s06_classes_intro/solutions/graph.py",
"copies": "1",
"size": "4341",
"license": "mit",
"hash": 6141180998675706000,
"line_mean": 29.1527777778,
"line_max": 118,
"alpha_frac": 0.4017507487,
"autogenerated": false,
"ratio": 3.907290729072907,
... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import subprocess
from time import time
# ---------------------------------------------------------------
# Constants
# --------------------------------... | {
"repo_name": "silverfield/pythonsessions",
"path": "s13_python_day/check.py",
"copies": "1",
"size": "3829",
"license": "mit",
"hash": -8131908542002925000,
"line_mean": 28.6821705426,
"line_max": 96,
"alpha_frac": 0.4228258031,
"autogenerated": false,
"ratio": 4.189277899343545,
"config_test"... |
__author__ = 'ferrard'
# ---------------------------------------------------------------
# Imports
# ---------------------------------------------------------------
import time
import matplotlib.pyplot as plt
import scipy as sp
# ---------------------------------------------------------------
# Interface - Timing fu... | {
"repo_name": "silverfield/pythonsessions",
"path": "s10_complexity/complexity_class.py",
"copies": "1",
"size": "4795",
"license": "mit",
"hash": -8399309756698461000,
"line_mean": 26.8779069767,
"line_max": 116,
"alpha_frac": 0.4533889468,
"autogenerated": false,
"ratio": 3.6380880121396055,
... |
__author__ = 'ferzerkerx'
import os
import collections
from jinja2 import FileSystemLoader
from jinja2.environment import Environment
from contributor_stats import ContributorStatsByCategory
path_project = os.path.realpath(os.path.dirname(__file__))
template_path = os.path.join(path_project, '..', 'templates')
en... | {
"repo_name": "ferzerkerx/git-greenseer",
"path": "src/main/category_percentage_html_report.py",
"copies": "2",
"size": "2574",
"license": "mit",
"hash": -1299921561859575300,
"line_mean": 42.6271186441,
"line_max": 99,
"alpha_frac": 0.6674436674,
"autogenerated": false,
"ratio": 4.48432055749128... |
__author__ = 'feurerm'
import copy
import unittest
import numpy as np
import sklearn.datasets
import sklearn.metrics
from autosklearn.pipeline.components.data_preprocessing.balancing import Balancing
from autosklearn.pipeline.classification import SimpleClassificationPipeline
from autosklearn.pipeline.components.cla... | {
"repo_name": "hmendozap/auto-sklearn",
"path": "test/test_pipeline/components/data_preprocessing/test_balancing.py",
"copies": "1",
"size": "8744",
"license": "bsd-3-clause",
"hash": 6264498725760805000,
"line_mean": 52.3231707317,
"line_max": 115,
"alpha_frac": 0.5639295517,
"autogenerated": fals... |
__author__ = 'filipe'
from flask import Flask
from flask import render_template
from summoner import Summoner
app = Flask(__name__)
@app.route('/', methods=['GET'])
def index():
s = Summoner()
data = s.grab_profile()
rg_data = s.grab_recent_games(data['gravelordnito']['id'])
m_data = s.grab_masteries... | {
"repo_name": "filipecifali/LeagueProfile",
"path": "main.py",
"copies": "1",
"size": "1066",
"license": "apache-2.0",
"hash": -5514617430838348000,
"line_mean": 21.2083333333,
"line_max": 78,
"alpha_frac": 0.6369606004,
"autogenerated": false,
"ratio": 2.9447513812154695,
"config_test": false,... |
__author__ = 'filipe'
import settings
import requests
import json
import os
class Summoner(object):
def __init__(self, name=settings.SUMMONER_NAME):
self.name = name
self.db = ''
self.data = ''
self.path = os.path.dirname(__file__)
self.cache_dir = settings.CACHE_DIR
... | {
"repo_name": "filipecifali/LeagueProfile",
"path": "summoner.py",
"copies": "1",
"size": "2388",
"license": "apache-2.0",
"hash": 236293094513228400,
"line_mean": 42.4363636364,
"line_max": 211,
"alpha_frac": 0.6260469012,
"autogenerated": false,
"ratio": 3.03430749682338,
"config_test": false... |
__author__ = 'Filip Hanes'
from time import time
import scrapy_sqlite.connection as connection
from scrapy.dupefilters import BaseDupeFilter
from scrapy.utils.request import request_fingerprint
class RFPDupeFilter(BaseDupeFilter):
"""SQLite-based request duplication filter"""
def __init__(self, conn, table... | {
"repo_name": "filyph/scrapy-sqlite",
"path": "scrapy_sqlite/dupefilter.py",
"copies": "1",
"size": "1426",
"license": "mit",
"hash": 5728019926302347000,
"line_mean": 28.1020408163,
"line_max": 102,
"alpha_frac": 0.6311360449,
"autogenerated": false,
"ratio": 4.218934911242603,
"config_test": ... |
__author__ = 'Filip Hanes'
import scrapy_sqlite.connection as connection
from scrapy.utils.misc import load_object
from scrapy_sqlite.dupefilter import RFPDupeFilter
from scrapy.utils.reqser import request_to_dict, request_from_dict
from scrapy.utils.request import request_fingerprint
import sqlite3
from time import ... | {
"repo_name": "filyph/scrapy-sqlite",
"path": "scrapy_sqlite/scheduler.py",
"copies": "1",
"size": "6039",
"license": "mit",
"hash": 6517360809554613000,
"line_mean": 36.5093167702,
"line_max": 117,
"alpha_frac": 0.6077165094,
"autogenerated": false,
"ratio": 4.1363013698630136,
"config_test": ... |
__author__ = 'Filip Hanes'
import scrapy_sqlite.connection as connection
from twisted.internet.threads import deferToThread
from scrapy.utils.serialize import ScrapyJSONEncoder
class SQLitePipeline(object):
"""Pushes item into a SQLite table"""
def __init__(self, conn):
self.conn = conn
sel... | {
"repo_name": "filyph/scrapy-sqlite",
"path": "scrapy_sqlite/pipelines.py",
"copies": "1",
"size": "1984",
"license": "mit",
"hash": 598773077755186700,
"line_mean": 32.0666666667,
"line_max": 82,
"alpha_frac": 0.5725806452,
"autogenerated": false,
"ratio": 4.040733197556008,
"config_test": fal... |
__author__ = 'Filip'
from urllib.parse import urlparse, parse_qs
from web import WebApp
from databases.neo4j import GraphDB
ENDPOINT = WebApp(__name__)
NEO4J = GraphDB()
# ednpoints for queries.html
@ENDPOINT.protected_route('/most_influential_persons')
def most_influential_persons():
request = ENDPOINT.get_r... | {
"repo_name": "ScJa/twitter-analyzer",
"path": "endpoints.py",
"copies": "1",
"size": "4729",
"license": "mit",
"hash": 3743939570763720700,
"line_mean": 36.832,
"line_max": 129,
"alpha_frac": 0.6022414887,
"autogenerated": false,
"ratio": 3.1111842105263157,
"config_test": false,
"has_no_key... |
__author__ = 'Filippo'
import csv
artistsPerYear = {}
for i in range(1940,2011):
with open("../data/genresByYear/"+str(i)+'Genres.csv', 'rb') as csvfile:
year=[]
spamreader = csv.reader(csvfile, delimiter=',', quotechar='"')
spamreader.next()
for row in spamreader:
if... | {
"repo_name": "VanBronckhorst/VizProject3",
"path": "app/script/genresArrayCreator.py",
"copies": "1",
"size": "1845",
"license": "apache-2.0",
"hash": 5277535432436976000,
"line_mean": 27.828125,
"line_max": 109,
"alpha_frac": 0.5604336043,
"autogenerated": false,
"ratio": 3.1865284974093266,
... |
__author__ = 'Filippo'
''' Only top
import csv
artistsPerYear = {}
for i in range(1940,2011):
with open("../data/artistsByYear/"+str(i)+'artist.csv', 'rb') as csvfile:
year=[]
spamreader = csv.reader(csvfile, delimiter=',', quotechar='"')
spamreader.next()
for row in spamreader:
... | {
"repo_name": "VanBronckhorst/VizProject3",
"path": "app/script/artistArrayCreator.py",
"copies": "1",
"size": "2647",
"license": "apache-2.0",
"hash": -7753280623141073000,
"line_mean": 27.7717391304,
"line_max": 109,
"alpha_frac": 0.5595013223,
"autogenerated": false,
"ratio": 3.216281895504253... |
import tweepy
import yaml
import requests
import re
import json
import random
# set up the Tweepy Twitter API access
# I assume that your creds file looks like the creds file that Twurl creates
creds = yaml.load(open("fionabot.creds"))
keys = creds["profiles"][creds["configuration"]["default_profile"][0]][creds["confi... | {
"repo_name": "fionapigott/fiona-bot",
"path": "get_representatives_bot.py",
"copies": "1",
"size": "3297",
"license": "mit",
"hash": 4517249105734905300,
"line_mean": 36.8965517241,
"line_max": 126,
"alpha_frac": 0.6320897786,
"autogenerated": false,
"ratio": 3.4201244813278007,
"config_test":... |
__author__ = 'fireflyc'
import struct
import socket
def hexline(data):
LOGFILTER = ''.join([(len(repr(chr(x))) == 3) and chr(x) or \
'.' for x in range(256)])
src = ''.join(data)
hexa = ' '.join(["%02x" % ord(x) for x in src])
printable = src.translate(LOGFILTER)
return "(%... | {
"repo_name": "fireflyc/python-dhcpd",
"path": "util.py",
"copies": "1",
"size": "1421",
"license": "apache-2.0",
"hash": -1502989852579741400,
"line_mean": 31.3181818182,
"line_max": 72,
"alpha_frac": 0.5475017593,
"autogenerated": false,
"ratio": 3.7005208333333335,
"config_test": false,
"h... |
__author__ = 'First-developer <lionel.firstdeveloper@gmail.com>'
__version__ = '0.1.0'
__copyright__ = """
Logan : A command line interface that helps organize yours script in a semantic way
Repository and issue-tracker: https://github.com/first-developer/logan
Licensed under terms of MIT license (see LICENS... | {
"repo_name": "first-developer/logan",
"path": "logan/__init__.py",
"copies": "1",
"size": "1874",
"license": "mit",
"hash": -5227017373457170000,
"line_mean": 34.0769230769,
"line_max": 98,
"alpha_frac": 0.5218783351,
"autogenerated": false,
"ratio": 4.5931372549019605,
"config_test": false,
... |
__author__ = 'fjlopez'
import string
import os
import sys
from .exceptions import InvalidQueryTypeException,InvalidQueryMethodException,InvalidQuerySpeciesException,InvalidQueryOptionsException
from . import CellBaseConfiguration
from . import CellBaseClient
class CellBaseCLIExecutor():
ENABLEDQUERYSUBTYPES = ["... | {
"repo_name": "melsiddieg/cellbase",
"path": "clients/python/lib/CellBaseCLIExecutor.py",
"copies": "1",
"size": "6230",
"license": "apache-2.0",
"hash": 799472839298510700,
"line_mean": 73.1666666667,
"line_max": 992,
"alpha_frac": 0.6380417335,
"autogenerated": false,
"ratio": 3.843306600863664... |
__author__ = 'fjlopez'
import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) # Adds pycellbase root dir to the PYTHONPATH
import argparse
from lib import CellBaseClient
def main():
parser = argparse.ArgumentParser(description='CellBase client 1.0')
parser.add_ar... | {
"repo_name": "jpdna/cellbase",
"path": "clients/python/app/main.py",
"copies": "1",
"size": "1888",
"license": "apache-2.0",
"hash": -7536849979752879000,
"line_mean": 40.9555555556,
"line_max": 159,
"alpha_frac": 0.6186440678,
"autogenerated": false,
"ratio": 4.176991150442478,
"config_test":... |
__author__ = 'flaviocaetano'
from django.contrib.admin import site
from django.http import HttpResponse, HttpResponseRedirect
from django.views.decorators.csrf import csrf_exempt
import os, time
from pelican_admin import _kill_pelican_service, _start_pelican_service, _check_pelican_service
from pelican_admin.models ... | {
"repo_name": "fjcaetano/pelican_admin",
"path": "pelican_admin/urls.py",
"copies": "1",
"size": "1816",
"license": "bsd-3-clause",
"hash": -755815763134779100,
"line_mean": 24.5915492958,
"line_max": 95,
"alpha_frac": 0.6734581498,
"autogenerated": false,
"ratio": 3.452471482889734,
"config_te... |
__author__ = 'flaviocaetano'
__VERSION__ = 0.3
from django.conf import settings, urls
from pelican_admin.helper import get_pelican_settings_file
import django, os, signal, atexit
def pelican_urls():
"""Helper function to return a URL pattern for serving pelican_admin webservices.
"""
return (
u... | {
"repo_name": "fjcaetano/pelican_admin",
"path": "pelican_admin/__init__.py",
"copies": "1",
"size": "2023",
"license": "bsd-3-clause",
"hash": -6925775132752411000,
"line_mean": 27.9142857143,
"line_max": 150,
"alpha_frac": 0.6376668314,
"autogenerated": false,
"ratio": 3.5182608695652173,
"co... |
__author__ = 'Flavio'
from django.db import models
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
from django.utils import simplejson
import os, sys, pprint, unicodedata, ast
from pelican_admin.helper import get_pelican_settings_file
from pelican import settings as ps
clas... | {
"repo_name": "fjcaetano/pelican_admin",
"path": "pelican_admin/models/settings.py",
"copies": "1",
"size": "2446",
"license": "bsd-3-clause",
"hash": 7116071301488929000,
"line_mean": 28.8414634146,
"line_max": 120,
"alpha_frac": 0.6071136549,
"autogenerated": false,
"ratio": 3.8459119496855347,... |
__author__ = 'Flavio'
from django.db import models
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
from pelican.utils import slugify
from pelican_admin.models.settings import Settings
import os, datetime, codecs
MARKUPS = (
(0, 'rst'),
(1, 'md'),
)
STATUS = (
(... | {
"repo_name": "fjcaetano/pelican_admin",
"path": "pelican_admin/models/blog_post.py",
"copies": "1",
"size": "6258",
"license": "bsd-3-clause",
"hash": -8735884836789003000,
"line_mean": 30.4522613065,
"line_max": 98,
"alpha_frac": 0.5661553212,
"autogenerated": false,
"ratio": 3.8701298701298703... |
__author__ = 'fleks'
class GroupHelper:
def __init__(self, app):
self.app = app
def open_groups_page(self):
wd = self.app.wd
wd.find_element_by_link_text("groups").click()
def create(self, group):
wd = self.app.wd
self.open_groups_page()
# init group creati... | {
"repo_name": "fleksso99/python_training",
"path": "fixture/group.py",
"copies": "1",
"size": "1230",
"license": "apache-2.0",
"hash": 6128271285665058000,
"line_mean": 37.4375,
"line_max": 71,
"alpha_frac": 0.6048780488,
"autogenerated": false,
"ratio": 3.2887700534759357,
"config_test": false... |
import ugfx
import buttons
import math
from os import listdir
import time
from imu import IMU
import gc
import pyb
app_path = "apps/floppy~3dspin"
matrix = __import__(app_path + "/matrix")
def loadObject(filename):
print(filename)
global obj_vertices
global obj_faces
obj_vertices = []
... | {
"repo_name": "Floppy/3dspin",
"path": "main.py",
"copies": "1",
"size": "7436",
"license": "mit",
"hash": 663520616049642900,
"line_mean": 29.7272727273,
"line_max": 103,
"alpha_frac": 0.6001882733,
"autogenerated": false,
"ratio": 3.26140350877193,
"config_test": false,
"has_no_keywords": f... |
__author__ = 'Florents Tselai'
class PocketItem:
def __init__(self, item_id):
self._item_id = item_id
@property
def title(self):
return self._title
@title.setter
def title(self, title):
self._title = title
@property
def saves_count(self):
return self._sav... | {
"repo_name": "Florents-Tselai/PyPocketExplore",
"path": "pypocketexplore/model.py",
"copies": "1",
"size": "2798",
"license": "mit",
"hash": 3583820216372081000,
"line_mean": 20.6899224806,
"line_max": 76,
"alpha_frac": 0.5736240172,
"autogenerated": false,
"ratio": 3.8593103448275863,
"config... |
import os
import shutil
from distutils import dir_util
from time import gmtime, strftime
print strftime("> %d.%m.%Y %H:%M:%S", gmtime())
root_www = "cordova/www"
cordova_js = "cordova/platforms/android/platform_www/cordova.js"
cordova_plugins_js = "cordova/platforms/android/platform_www/cordova_plugins.js... | {
"repo_name": "fhstp-mfg/mobilot",
"path": "cordova_prepare_android.py",
"copies": "1",
"size": "1374",
"license": "bsd-3-clause",
"hash": 3853487644762296000,
"line_mean": 20.8095238095,
"line_max": 80,
"alpha_frac": 0.6513828239,
"autogenerated": false,
"ratio": 2.8506224066390042,
"config_te... |
__author__ = 'Florian'
from dyn_net_viz import graph_viz
import datetime
import pandas as pd
from graph_tool.all import *
import random
def main():
# create an undirected tree
second_level_nodes = 3
second_level_leaves = 1
g = Graph(directed=False)
vertices = [g.add_vertex() for i in range(second_... | {
"repo_name": "floriangeigl/DynamicNetworkViz",
"path": "example_graph_evolution.py",
"copies": "1",
"size": "2186",
"license": "apache-2.0",
"hash": -705790998264934700,
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"line_max": 120,
"alpha_frac": 0.5914913083,
"autogenerated": false,
"ratio": 3.4920127795527156,
... |
__author__ = 'Florian'
from dyn_net_viz import graph_viz
import datetime
import pandas as pd
from graph_tool.all import *
def main():
# create an circular undirected graph containing 10 nodes
num_nodes = 10
g = Graph(directed=False)
nodes = [g.add_vertex() for i in range(num_nodes)]
for idx, v1 in... | {
"repo_name": "floriangeigl/DynamicNetworkViz",
"path": "example_graph_opinion_dyn.py",
"copies": "1",
"size": "1636",
"license": "apache-2.0",
"hash": 2877235496937169000,
"line_mean": 29.8867924528,
"line_max": 109,
"alpha_frac": 0.6039119804,
"autogenerated": false,
"ratio": 3.4734607218683653... |
__author__ = 'Florian'
from dyn_net_viz import graph_viz
import datetime
import pandas as pd
from graph_tool.all import *
def main():
# create an undirected tree
second_level_nodes = 10
second_level_leaves = 2
g = Graph(directed=False)
vertices = [g.add_vertex() for i in range(second_level_nodes +... | {
"repo_name": "floriangeigl/DynamicNetworkViz",
"path": "example_graph_activity.py",
"copies": "1",
"size": "2526",
"license": "apache-2.0",
"hash": 3238994149239274500,
"line_mean": 32.6933333333,
"line_max": 133,
"alpha_frac": 0.5870942201,
"autogenerated": false,
"ratio": 3.7366863905325443,
... |
__author__ = 'Florian'
from util import get_lan_ip
#################
# CONFIGURATION #
#################
# CHANGE FROM HERE
#
UDP_PORT = 18877
IP = get_lan_ip()
BUFFER_SIZE = 8192
TIMEOUT_IN_SECONDS = 0.1
#
SCREEN_WIDTH = 320
SCREEN_HEIGHT = 240
SCREEN_DEEP = 32
#
LABEL_RIGHT = 0
LABEL_LEFT = 1
ALIGN_CENTER = 0
A... | {
"repo_name": "sumpfgottheit/pdu1800",
"path": "config.py",
"copies": "1",
"size": "2048",
"license": "mit",
"hash": -5136574366810256000,
"line_mean": 22.0112359551,
"line_max": 71,
"alpha_frac": 0.6196289062,
"autogenerated": false,
"ratio": 2.632390745501285,
"config_test": false,
"has_no_... |
__author__ = 'florian'
'''
Copyright (c) 2015 FlorianSeidel
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge... | {
"repo_name": "FlorianSeidel/GOL",
"path": "gol/subspace_tracking/utilities/changedetection_net.py",
"copies": "1",
"size": "3951",
"license": "mit",
"hash": -6985941502462919000,
"line_mean": 35.5833333333,
"line_max": 158,
"alpha_frac": 0.7107061503,
"autogenerated": false,
"ratio": 3.414866032... |
__author__ = 'Florian'
import pygame
from pygame import Rect
from pygame.font import Font
from config import *
from constants import *
import sys
from collections import deque
from copy import deepcopy
from math import floor
dirty_rects = []
widgets = {}
pages = []
def getit(key, h):
"""Return h[key]. If key ha... | {
"repo_name": "sumpfgottheit/pdu1800",
"path": "widgets.py",
"copies": "1",
"size": "32604",
"license": "mit",
"hash": -6663543295419044000,
"line_mean": 38.6642335766,
"line_max": 196,
"alpha_frac": 0.5773524721,
"autogenerated": false,
"ratio": 3.270210631895687,
"config_test": false,
"has_... |
__author__ = 'florianseidl'
import env
from configutil import *
from unittest import TestCase
from unittest.mock import Mock, patch
import os
@patch("os.path.expanduser", Mock(spec=(""), return_value="home"))
class ConfigUtilTest(TestCase):
filename="bilbla_42_foobar_gibitsnicht_sowieso.blo"
key = b'\n\xb5\x8... | {
"repo_name": "SchweizerischeBundesbahnen/cimon_controller",
"path": "tests/test_configutil.py",
"copies": "1",
"size": "1873",
"license": "apache-2.0",
"hash": 3876797542115038000,
"line_mean": 35.0384615385,
"line_max": 114,
"alpha_frac": 0.6844634277,
"autogenerated": false,
"ratio": 3.1426174... |
__author__ = 'florianseidl'
import env
from output import *
from unittest import TestCase, main
from unittest.mock import MagicMock, Mock
from cimon import JobStatus,RequestStatus,Health
class AbstractBuildAmpelTest(TestCase):
def test_not_found_is_no_output(self):
ampel = self.__create_ampel__(signal_er... | {
"repo_name": "SchweizerischeBundesbahnen/cimon_controller",
"path": "tests/test_output.py",
"copies": "1",
"size": "8205",
"license": "apache-2.0",
"hash": -4696515772328411000,
"line_mean": 53.3443708609,
"line_max": 161,
"alpha_frac": 0.6374162096,
"autogenerated": false,
"ratio": 3.0753373313... |
__author__ = 'florianseidl'
import logging
from cimon import JobStatus,RequestStatus, Health
# for manual test purposes only, cycle through predefined output values
logger = logging.getLogger(__name__)
default_status = (
JobStatus(request_status=RequestStatus.OK, health=Health.SICK, active=False),
JobStatus... | {
"repo_name": "SchweizerischeBundesbahnen/cimon_controller",
"path": "src/rotatingcollector.py",
"copies": "1",
"size": "2129",
"license": "apache-2.0",
"hash": -762118241700796500,
"line_mean": 44.3191489362,
"line_max": 92,
"alpha_frac": 0.7101925787,
"autogenerated": false,
"ratio": 3.58417508... |
__author__ = 'fmontes'
import unittest
from main.contribution_stats import ContributionStats
from main.dir_stats import DirStats
class DirStatsTest(unittest.TestCase):
def test_add_file_contributions(self):
dir_name = '/someDir'
dir_stats = DirStats(dir_name)
dir_stats.add_file_contribu... | {
"repo_name": "ferzerkerx/gitOverseer",
"path": "src/test/dir_stats_test.py",
"copies": "2",
"size": "1733",
"license": "mit",
"hash": 4983064507879205000,
"line_mean": 39.3023255814,
"line_max": 94,
"alpha_frac": 0.6803231391,
"autogenerated": false,
"ratio": 3.7510822510822512,
"config_test":... |
__author__ = 'fmoscato'
from datetime import date
#dummy file with some constant values
END_DATE = "02/20/2020"
DATE_FORMAT = "%m/%d/%Y"
"""
Email sent when there was a new publication download
"""
SUBJECT_PUB_VALIDATION = "Nuove publicazioni da validare"
BODY_MAIL_PUB_VALIDATION = "Ci sono delle nuove publicazi... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/constants.py",
"copies": "1",
"size": "1565",
"license": "mit",
"hash": -2998532038208590000,
"line_mean": 23.8412698413,
"line_max": 130,
"alpha_frac": 0.6920127796,
"autogenerated": false,
"ratio": 3.086785009861933,
"confi... |
__author__ = 'fmoscato'
from datetime import date
#dummy file with some constant values
END_DATE = "20/02/2020"
DATE_FORMAT = "%d/%m/%Y"
SHORT_DATE_FORMAT = "%B %Y"
"""
Email sent when there was a new publication download
"""
SUBJECT_PUB_VALIDATION = "Nuove publicazioni da validare"
BODY_MAIL_PUB_VALIDATION = "... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/constants.py",
"copies": "1",
"size": "1389",
"license": "mit",
"hash": 7568574357195073000,
"line_mean": 22.9655172414,
"line_max": 101,
"alpha_frac": 0.6803455724,
"autogenerated": false,
"ratio": 2.9935344827586206,
"config_test": fals... |
__author__ = 'fmoscato'
from datetime import datetime
from collections import OrderedDict
from itertools import groupby
from operator import itemgetter
import pymongo
import constants as c
# The Aggregation DAO handles interactions with the publication collection,
# and aggregate the results.
class Aggregation... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/aggregationDAO.py",
"copies": "1",
"size": "8832",
"license": "mit",
"hash": 9124307913165021000,
"line_mean": 30.6559139785,
"line_max": 105,
"alpha_frac": 0.4454257246,
"autogenerated": false,
"ratio": 4.201712654614653,
"config_test": ... |
__author__ = 'fmoscato'
from datetime import datetime
from collections import OrderedDict
import pymongo.errors
import constants as c
# The Aggregation DAO handles interactions with the publication collection,
# and aggregate the results.
class AggregationDAO:
# constructor for the class
def __init__(s... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/aggregationDAO.py",
"copies": "1",
"size": "11041",
"license": "mit",
"hash": -6832523193174687000,
"line_mean": 33.1826625387,
"line_max": 115,
"alpha_frac": 0.4545783896,
"autogenerated": false,
"ratio": 4.031033223804308,
... |
__author__ = 'fmoscato'
from datetime import datetime
import json
from collections import OrderedDict
from collections import defaultdict
import ast
import pymongo
import bottle
import authentication as auth
import publicationDAO
import sessionDAO
import userDAO
import config
import project_missionDAO
import projec... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/admin.py",
"copies": "1",
"size": "32612",
"license": "mit",
"hash": -240168097928864220,
"line_mean": 35.0752212389,
"line_max": 120,
"alpha_frac": 0.5853673494,
"autogenerated": false,
"ratio": 4.171932966611232,
"config_test": false,
... |
__author__ = 'fmoscato'
from datetime import datetime
import json
from collections import OrderedDict
import pymongo
import bottle
import authentication as auth
import publicationDAO
import sessionDAO
import userDAO
import missionDAO
import roleDAO
import pubUtilities as p
import handle_asdc_author
import constants ... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/admin.py",
"copies": "1",
"size": "27632",
"license": "mit",
"hash": 3128434090100448000,
"line_mean": 33.1135802469,
"line_max": 155,
"alpha_frac": 0.5971699479,
"autogenerated": false,
"ratio": 3.883626141953619,
"config_te... |
_author_ = 'fmoscato'
from datetime import datetime
import pymongo.errors
import constants as c
# The Mission Data Access Object handles all interactions with the Mission collection.
# The Mission collection is a collections of missions that are related with missions. Users can
# have multiple missions to work wi... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/missionDAO.py",
"copies": "1",
"size": "3194",
"license": "mit",
"hash": -8171890306592074000,
"line_mean": 26.5344827586,
"line_max": 97,
"alpha_frac": 0.541014402,
"autogenerated": false,
"ratio": 4.208168642951252,
"config... |
__author__ = 'fmoscato'
from datetime import datetime
import pymongo
from pymongo import errors as pymongoErr
from publicationDAO import PublicationDAO
import constants as c
"""
This class will provide the access to the
the temporary publications collection
"""
class TemporaryPublicationDAO(PublicationDAO):
#... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/temporaryPublicationDAO.py",
"copies": "2",
"size": "7490",
"license": "mit",
"hash": 969038724162712800,
"line_mean": 44.9509202454,
"line_max": 131,
"alpha_frac": 0.51188251,
"autogenerated": false,
"ratio": 5.123119015047879... |
_author_ = 'fmoscato'
from datetime import datetime
import pymongo
import bson
import constants as c
'''
The Project Data Access Object handles all interactions with the Project collection.
Missions and Project = main scientific project
Project =sub-projects
URL = url where possible to find more informations re... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/projectDAO.py",
"copies": "1",
"size": "1698",
"license": "mit",
"hash": -226083333855850240,
"line_mean": 23.6086956522,
"line_max": 101,
"alpha_frac": 0.5783274441,
"autogenerated": false,
"ratio": 4.540106951871658,
"config_test": fals... |
_author_ = 'fmoscato'
from datetime import datetime
import pymongo
import constants as c
'''
The Contract Data Access Object handles all interactions with the Project collection.
The Contract DAO handle the project object that can have the following field
Project = project of the contract (the project is a chil... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/contractDAO.py",
"copies": "1",
"size": "2961",
"license": "mit",
"hash": -3730449886873942000,
"line_mean": 28.3168316832,
"line_max": 127,
"alpha_frac": 0.5896656535,
"autogenerated": false,
"ratio": 4.3801775147929,
"config_test": fals... |
__author__ = 'fmoscato'
import cgi
from datetime import datetime
import time
import os.path
import argparse
import pymongo
import bottle
import config
import publicationDAO
import sessionDAO
import userDAO
import project_missionDAO
import projectDAO
from admin import admin_app
from metrics import metric_app
from te... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/publication.py",
"copies": "1",
"size": "14462",
"license": "mit",
"hash": -7111362962706601000,
"line_mean": 31.4988764045,
"line_max": 125,
"alpha_frac": 0.6286129166,
"autogenerated": false,
"ratio": 3.918179355188296,
"config_test": f... |
__author__ = 'fmoscato'
import cgi
from datetime import datetime
import time
import os.path
import argparse
import pymongo
import bottle
import publicationDAO
import sessionDAO
import userDAO
from admin import admin_app
from metrics import metric_app
from temporaryPublications import temporary_app
import constants ... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/publication.py",
"copies": "1",
"size": "26790",
"license": "mit",
"hash": 6011174643694524000,
"line_mean": 33.8374512354,
"line_max": 151,
"alpha_frac": 0.6282194849,
"autogenerated": false,
"ratio": 3.9001310234386373,
"co... |
__author__ = 'fmoscato'
import pubUtilities
from collections import OrderedDict
"""
utilities module that handles the
syntax for the asdc author
"""
def clean_asdc_authors(auth_str, users_list):
"""
rules to clean the asdc authors name:
1- always keep the first 3 authors
2- the asdc authors are unde... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/handle_asdc_author.py",
"copies": "1",
"size": "4637",
"license": "mit",
"hash": 4617298564814422000,
"line_mean": 31.6549295775,
"line_max": 112,
"alpha_frac": 0.5820573647,
"autogenerated": false,
"ratio": 3.6311667971808927,... |
__author__ = 'fmoscato'
import re
from datetime import datetime
import constants as c
__USER_RE__ = re.compile(r"^[a-zA-Z0-9_-]{3,20}$")
__PASS_RE__ = re.compile(r"^.{3,20}$")
__EMAIL_RE__ = re.compile(r"^[\S]+@[\S]+\.[\S]+$")
__NAME_RE__ = re.compile(r"^[a-zA-Z0-9_-]{3,40}$")
__URL_RE__ = re.compile(r'^http?://' ... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/validatePublications.py",
"copies": "1",
"size": "6915",
"license": "mit",
"hash": 8548280708563280000,
"line_mean": 34.829015544,
"line_max": 100,
"alpha_frac": 0.5433116414,
"autogenerated": false,
"ratio": 4.244935543278085,... |
__author__ = 'fmoscato'
import sys
import random
import string
# The session Data Access Object handles interactions with the sessions collection
class SessionDAO:
def __init__(self, database):
self.db = database
self.sessions = database.sessions
# will start a new session id by adding a n... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/sessionDAO.py",
"copies": "2",
"size": "2007",
"license": "mit",
"hash": 4016021211169531000,
"line_mean": 26.4931506849,
"line_max": 101,
"alpha_frac": 0.6168410563,
"autogenerated": false,
"ratio": 4.279317697228145,
"config_test": fals... |
__author__ = 'fmoscato'
"""
App to handle the temporary publications
"""
from datetime import datetime
import pymongo
import bottle
import config
import publicationDAO
import temporaryPublicationDAO
import sessionDAO
import userDAO
import validatePublications
import pubUtilities as utilities
import authentication a... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/temporaryPublications.py",
"copies": "1",
"size": "7362",
"license": "mit",
"hash": -3918965974490029600,
"line_mean": 34.0571428571,
"line_max": 121,
"alpha_frac": 0.6505025808,
"autogenerated": false,
"ratio": 3.8726985796948976,
"confi... |
__author__ = 'fmoscato'
"""
App to handle the temporary publications
"""
from datetime import datetime
import pymongo
import bottle
import publicationDAO
import temporaryPublicationDAO
import sessionDAO
import missionDAO
import userDAO
import validatePublications
import pubUtilities as utilities
import authenticati... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/temporaryPublications.py",
"copies": "1",
"size": "7542",
"license": "mit",
"hash": 2558350819436623400,
"line_mean": 34.7440758294,
"line_max": 117,
"alpha_frac": 0.6549986741,
"autogenerated": false,
"ratio": 3.85977482088024... |
__author__ = 'fmoscato'
import pymongo
import bson
auhtor_to_controll = ['giommi', 'cavazzuti']
author_to_eliminate = 'longo'
title_array = ['fermi', 'agile', 'grb', 'gamma']
title = 'gamma'
class CleaningDAO(object):
def __init__(self, database):
self.db = database
self.publications = data... | {
"repo_name": "lbmm/S.E.Arch",
"path": "bin/cleaningAuthors.py",
"copies": "1",
"size": "3261",
"license": "mit",
"hash": -9144636832708912000,
"line_mean": 24.4765625,
"line_max": 112,
"alpha_frac": 0.5305121128,
"autogenerated": false,
"ratio": 4.207741935483871,
"config_test": false,
"has_... |
_author_ = 'fmoscato'
import pymongo
import bson
'''
The Project_Mission Data Access Object handles all interactions with the project_mission collection.
Name = name of the mission_projects
URL = url where possible to find more informations regarding the mission_project (point to the ASI web page)
'''
class... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/project_missionDAO.py",
"copies": "1",
"size": "1579",
"license": "mit",
"hash": 3020767425553067500,
"line_mean": 23.671875,
"line_max": 121,
"alpha_frac": 0.6206459785,
"autogenerated": false,
"ratio": 4.210666666666667,
"config_test": ... |
_author_ = 'fmoscato'
import random
import string
import hashlib
from datetime import datetime
import pymongo.errors
import constants as c
import pubUtilities
# The User Data Access Object handles all interactions with the User collection.
class UserDAO(object):
def __init__(self, db):
self.db = db
... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/userDAO.py",
"copies": "1",
"size": "10076",
"license": "mit",
"hash": -2055465170273587500,
"line_mean": 29.8134556575,
"line_max": 116,
"alpha_frac": 0.5116117507,
"autogenerated": false,
"ratio": 4.1601981833195705,
"confi... |
_author_ = 'fmoscato'
import random
import string
import hashlib
from datetime import datetime
import pymongo
import constants as c
import pubUtilities
# The User Data Access Object handles all interactions with the User collection.
class UserDAO:
def __init__(self, db):
self.db = db
self.us... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/userDAO.py",
"copies": "1",
"size": "6789",
"license": "mit",
"hash": 923324084013270900,
"line_mean": 27.525210084,
"line_max": 113,
"alpha_frac": 0.5413168361,
"autogenerated": false,
"ratio": 4.208927464352139,
"config_test": false,
... |
__author__ = 'fmoscato'
"""
The Publication DAO handles interactions with the publication collection
The DAO provides 3 levels interface (da scrivere meglio)
1 - ADMIN can add publications + validate
2- search publications
3- users level
"""
import sys
from datetime import datetime
import pymongo.errors
import con... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/publicationDAO.py",
"copies": "1",
"size": "18569",
"license": "mit",
"hash": -4299799142381945000,
"line_mean": 38.592750533,
"line_max": 132,
"alpha_frac": 0.4982497711,
"autogenerated": false,
"ratio": 4.466923261967765,
"... |
__author__ = 'fmoscato'
"""
utilities module for the publications project
"""
import os
def str2bool(string):
return string in ('true', 'T', 'True', 'Y', 1)
def find_nth(s, x, n):
"""
find the nth occurence in a string
takes string where to search, substring, nth-occurence
"""
i = -1
for... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/pubUtilities.py",
"copies": "1",
"size": "1149",
"license": "mit",
"hash": -1831937872592119800,
"line_mean": 20.679245283,
"line_max": 64,
"alpha_frac": 0.5596170583,
"autogenerated": false,
"ratio": 3.0316622691292876,
"con... |
__author__ = 'fmoscato'
"""
utilities module for the publications project
"""
import os
def str2bool(string):
return string in ('true', 'T', 'True', 'Y', 1)
def strValue2bool(string, value):
return string.lower() in (value.lower())
def find_nth(s, x, n):
"""
find the nth occurence in a string
... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/pubUtilities.py",
"copies": "1",
"size": "1936",
"license": "mit",
"hash": 2449350878834330600,
"line_mean": 21.2528735632,
"line_max": 107,
"alpha_frac": 0.5547520661,
"autogenerated": false,
"ratio": 3.127625201938611,
"config_test": fa... |
__author__ = 'fmoscato'
#Router for the metrics pages
from datetime import datetime
import pymongo
import bottle
import aggregationDAO
import sessionDAO
import missionDAO
import userDAO
import constants as c
import validatePublications
#create the app for the metrics interface
metric_app = bottle.Bottle()
@bot... | {
"repo_name": "lbmm/ASDCBibliographyTool",
"path": "pubblicazioniASDC/metrics.py",
"copies": "1",
"size": "7079",
"license": "mit",
"hash": 2784480929759850500,
"line_mean": 36.0628272251,
"line_max": 111,
"alpha_frac": 0.5995197062,
"autogenerated": false,
"ratio": 4.337622549019608,
"config_t... |
__author__ = 'fmoscato'
#Router for the metrics pages
from datetime import datetime
import pymongo
import bottle
import config
import aggregationDAO
import sessionDAO
import userDAO
import publicationDAO
import constants as c
import validatePublications
#create the app for the metrics interface
metric_app = bot... | {
"repo_name": "lbmm/S.E.Arch",
"path": "pubblicazioniASI/metrics.py",
"copies": "1",
"size": "3675",
"license": "mit",
"hash": 1702006378991185000,
"line_mean": 29.8823529412,
"line_max": 105,
"alpha_frac": 0.645170068,
"autogenerated": false,
"ratio": 4.349112426035503,
"config_test": false,
... |
__author__ = 'fniksic'
class Node(object):
pass
class Program(Node):
def __init__(self, variables, rules, initial, target, invariants):
self.variables = variables
self.rules = rules
self.initial = initial
self.target = target
self.invariants = invariants
def __str_... | {
"repo_name": "fniksic/mister",
"path": "src/mister/ast.py",
"copies": "1",
"size": "3001",
"license": "mit",
"hash": 4663053399010640000,
"line_mean": 26.5321100917,
"line_max": 117,
"alpha_frac": 0.5701432856,
"autogenerated": false,
"ratio": 3.1457023060796647,
"config_test": false,
"has_n... |
__author__ = 'fowler'
import socket
import xmlrpclib
import sys
import json
OPERATION_START_GROUP = 'start_g'
OPERATION_STOP_GROUP = 'stop_g'
OPERATION_LOAD_GROUP = 'load_g'
OPERATION_START_INSTANCE = 'start_i'
OPERATION_STOP_INSTANCE = 'stop_i'
OPERATION_LOAD_INSTANCE = 'load_i'
OPERATION_ACTIVE = 'active'
OPERATION_... | {
"repo_name": "Fowler-Zhang/redis_auto_setup",
"path": "supervisor_manage/cluster_supervisor_manage.py",
"copies": "1",
"size": "5019",
"license": "mit",
"hash": 2811440269956156000,
"line_mean": 34.3521126761,
"line_max": 106,
"alpha_frac": 0.6678621239,
"autogenerated": false,
"ratio": 3.726057... |
__author__ = 'foxtrot'
import tweepy
from tweepy import Stream
import json
import indicoio
import time
import threading
from googleapiclient.discovery import build
from MyState import *
import urllib2
# Tokens and keys
consumer_key = "nEcXxJ8rQ7UyDrPYzzDTFScLl"
consumer_secret = "60GrqyEeVwLLP5fLnx6OUtAixrAGpinZ1eBcu... | {
"repo_name": "minicole/elpolitico",
"path": "elpolitico/elpolitico/observer.py",
"copies": "1",
"size": "7980",
"license": "mit",
"hash": -1071218051175355600,
"line_mean": 34.154185022,
"line_max": 162,
"alpha_frac": 0.5906015038,
"autogenerated": false,
"ratio": 3.9780658025922233,
"config_t... |
__author__ = 'fpliger'
from mako.template import Template
import datetime
class ModelBase(object):
missing_attr_marker = '---'
def __init__(self, replace_missing_attr=False, **kws):
print 'setting, ', self, kws
self.replace_missing_attr = replace_missing_attr
map(lambda k, v: setattr(se... | {
"repo_name": "fpliger/docdriver",
"path": "docdriver/models.py",
"copies": "1",
"size": "1948",
"license": "mit",
"hash": -4311570738523446300,
"line_mean": 26.8285714286,
"line_max": 78,
"alpha_frac": 0.5713552361,
"autogenerated": false,
"ratio": 3.9353535353535354,
"config_test": false,
"... |
import lazylights
import time
from PIL import ImageGrab
import os
from colour import Color
import sys
import math
import binascii
#//////////////////////////////////////////////////////////////////////////////////////////////////////////
# GLOBAL DEFINES
#///////////////////////////////////////////////////////////////... | {
"repo_name": "frakman1/lifxscreen2",
"path": "lifxscreen2.py",
"copies": "1",
"size": "6607",
"license": "mit",
"hash": 7588376072674562000,
"line_mean": 44.5655172414,
"line_max": 118,
"alpha_frac": 0.5114272741,
"autogenerated": false,
"ratio": 3.5256136606189967,
"config_test": false,
"ha... |
from PIL import ImageGrab
import time
import os
from colour import Color
#//////////////////////////////////////////////////////////////////////////////////////////////////////////
# GLOBAL DEFINES
#//////////////////////////////////////////////////////////////////////////////////////////////////////////
#HEIGHT ... | {
"repo_name": "frakman1/lifxscreen",
"path": "lifxscreen.py",
"copies": "1",
"size": "3448",
"license": "mit",
"hash": -8406649296434723000,
"line_mean": 49.7058823529,
"line_max": 211,
"alpha_frac": 0.4817285383,
"autogenerated": false,
"ratio": 3.6029258098223615,
"config_test": false,
"has... |
#Import Libraries
import math
from math import pi
from numpy import genfromtxt
import numpy
numpy.set_printoptions(suppress=True) #supress scientific notation for numbers.
import openpyxl
import matplotlib.pyplot as plt
#Print loading message on the screen
print("Loading...Please wait\n")
#Gobal Variables
global g
... | {
"repo_name": "FranciscoChaves90/outfall-rock-protection-design",
"path": "outfall_rockdesign.py",
"copies": "1",
"size": "14907",
"license": "mit",
"hash": 7215842031402489000,
"line_mean": 39.0752688172,
"line_max": 202,
"alpha_frac": 0.7236197759,
"autogenerated": false,
"ratio": 2.85903337169... |
# if you'r on a 32 bit OS:
# import Image
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import time
from collections import Counter
np.seterr(over='ignore')
def createImages():
numberArrayImages = open('numArrayImages.txt', 'a')
numbersRange = range(0,10)
versionsRange = ra... | {
"repo_name": "FMCalisto/image-recognition",
"path": "src/recognizer.py",
"copies": "1",
"size": "3697",
"license": "mit",
"hash": 7960751092109209000,
"line_mean": 23.3223684211,
"line_max": 80,
"alpha_frac": 0.5899377874,
"autogenerated": false,
"ratio": 3.753299492385787,
"config_test": fals... |
__author__ = 'franciscui'
#coding=utf-8
from groupapi import *
from userapi import *
class Group:
__objectClass = ['posixGroup', 'top', 'sambaGroupMapping']
__cn = ''
__sambaGroupType = 4
__gidNumber = -1
__displayName = ''
__description = ''
__sambaSID = ''
__sambaSIDprefix = 'S-1-5-32-'
def __init__(self, c... | {
"repo_name": "francisar/ldapapi",
"path": "ldapapi/ldapusermanage/Group.py",
"copies": "1",
"size": "1530",
"license": "mit",
"hash": 2488955309848959500,
"line_mean": 26.3392857143,
"line_max": 102,
"alpha_frac": 0.6307189542,
"autogenerated": false,
"ratio": 2.7717391304347827,
"config_test"... |
__author__ = 'franciscui'
#coding=utf-8
import MySQLdb
from config import *
class Dbconnecter:
__host = ""
__port = ""
__dbuser = ""
__dbpasswd = ""
__dbname = ""
__charset = ""
__use_unicode= None
def __init__(self, host=DBHOST, port=DBPORT, user=DBUSER, passwd=DBPASSWD, dbname=DBNAM... | {
"repo_name": "francisar/weblog_manager",
"path": "db/Dbconnecter.py",
"copies": "1",
"size": "1749",
"license": "mit",
"hash": 1563081452388816400,
"line_mean": 30.2321428571,
"line_max": 184,
"alpha_frac": 0.5477415666,
"autogenerated": false,
"ratio": 3.5987654320987654,
"config_test": false... |
__author__ = 'francisl'
import logging
import os
import json
import socket
from nose.plugins import Plugin
log = logging.getLogger(__name__)
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
log.addHandler(ch)
class ReporterConnectionError(Exception):
pass
class ReporterMessenger:
def __init__(self):... | {
"repo_name": "francisl/EKG4Test",
"path": "plugins/EKGnose/EKGnose/plugin.py",
"copies": "1",
"size": "4083",
"license": "mit",
"hash": 7195736739867163000,
"line_mean": 31.157480315,
"line_max": 115,
"alpha_frac": 0.5241244183,
"autogenerated": false,
"ratio": 3.7910863509749304,
"config_test... |
__author__ = 'francisl'
import logging
import os
import sys
import json
import socket
from nose.plugins import Plugin
log = logging.getLogger(__name__)
ch = logging.StreamHandler()
ch.setLevel(logging.WARNING)
log.addHandler(ch)
class Notifier(object):
PLATFORM = sys.platform
@staticmethod
def notify_m... | {
"repo_name": "francisl/nosewhistleblower",
"path": "nosewhistleblower/plugin.py",
"copies": "1",
"size": "2560",
"license": "mit",
"hash": 6732964281485955000,
"line_mean": 31.0125,
"line_max": 105,
"alpha_frac": 0.593359375,
"autogenerated": false,
"ratio": 3.798219584569733,
"config_test": f... |
__author__ = 'Francis Screene'
import argparse
import os
import json
import time
import math
import sys
from sftp_connection import SFTPConnection
from util import *
def run_setup():
config = dict()
config['host'] = raw_input('Please enter the address for the remote host: ')
config['port'] = raw_input('... | {
"repo_name": "NotARealTree/PyDeploy",
"path": "pydeploy/deploy.py",
"copies": "1",
"size": "4709",
"license": "mit",
"hash": 7347099108577822000,
"line_mean": 33.8814814815,
"line_max": 123,
"alpha_frac": 0.6302824379,
"autogenerated": false,
"ratio": 3.6674454828660434,
"config_test": true,
... |
__author__ = 'Francis Screene'
import time
import os
import json
from slackclient import SlackClient
import requests
def run():
config = load_config()
sc = SlackClient(config['api_token'])
threshold = config['threshold']
duration = config['duration']
exclude = config['exclude'].sp... | {
"repo_name": "NotARealTree/SlackKillBot",
"path": "kills.py",
"copies": "1",
"size": "4265",
"license": "mit",
"hash": 8898456455673965000,
"line_mean": 26.2450331126,
"line_max": 103,
"alpha_frac": 0.5327080891,
"autogenerated": false,
"ratio": 3.695840554592721,
"config_test": true,
"has_n... |
class NotAFieldError(Exception):
def __init__(self, struct, field):
self._struct, self._field = struct, field
def __str__(self):
return 'The given field {!r} is not a field of {!r}'.format(
self._field, self._struct
)
class SuperFieldError(Exception):
def __str__(self... | {
"repo_name": "fmichea/srddl",
"path": "srddl/exceptions.py",
"copies": "1",
"size": "6081",
"license": "bsd-3-clause",
"hash": -2913831476299322400,
"line_mean": 29.8680203046,
"line_max": 81,
"alpha_frac": 0.5901989804,
"autogenerated": false,
"ratio": 3.925758553905746,
"config_test": false,... |
from __future__ import print_function
import argparse
import pdb
import sys
import textwrap
import traceback
class CMDMAN_CMDError(Exception):
pass
class cmdman:
def __init__(self, **kwargs):
# Error header is the text displayed before an error that is a subclass
# of CMDError.
sel... | {
"repo_name": "fmichea/cmdman",
"path": "cmdman/__init__.py",
"copies": "1",
"size": "4829",
"license": "bsd-3-clause",
"hash": -2134190096878356000,
"line_mean": 40.6293103448,
"line_max": 84,
"alpha_frac": 0.5885276455,
"autogenerated": false,
"ratio": 4.23225241016652,
"config_test": false,
... |
import abc
import binascii
import functools
import inspect
import pprint
import srddl.core.helpers as sch
import srddl.core.nameddict as scnd
import srddl.exceptions as se
import srddl.helpers as sh
from srddl.core.signals import Signal
from srddl.core.offset import Offset, Size
FieldInitStatus = sch.enum(KO=0, INI... | {
"repo_name": "fmichea/srddl",
"path": "srddl/core/fields.py",
"copies": "1",
"size": "11496",
"license": "bsd-3-clause",
"hash": -9215110215675431000,
"line_mean": 33.4191616766,
"line_max": 83,
"alpha_frac": 0.5954244955,
"autogenerated": false,
"ratio": 4.210989010989011,
"config_test": fals... |
import abc
import collections
import functools
import inspect
import srddl.core.exceptions as sce
import srddl.core.helpers as sch
import srddl.data as sd
import srddl.exceptions as se
import srddl.core.nameddict as scnd
from srddl.core.fields import AbstractMappedValue, AbstractField, FieldInitStatus
from srddl.co... | {
"repo_name": "fmichea/srddl",
"path": "srddl/models.py",
"copies": "1",
"size": "9194",
"license": "bsd-3-clause",
"hash": 1740376350878373400,
"line_mean": 32.071942446,
"line_max": 83,
"alpha_frac": 0.549488797,
"autogenerated": false,
"ratio": 4.05916114790287,
"config_test": false,
"has_... |
import abc
import functools
import imp
import inspect
import os
import sys
import srddl.core.exceptions as sce
class MetaAbstractDescriptor(abc.ABCMeta):
'''
This metaclass inherits from abc.ABCMeta and wrap __get__ and __set__
functions to implement mandatory instance == None case.
'''
def __ne... | {
"repo_name": "fmichea/srddl",
"path": "srddl/core/helpers.py",
"copies": "1",
"size": "5480",
"license": "bsd-3-clause",
"hash": 2778365040105932300,
"line_mean": 34.8169934641,
"line_max": 79,
"alpha_frac": 0.5797445255,
"autogenerated": false,
"ratio": 4.3014128728414445,
"config_test": fals... |
import srddl.core.exceptions as sce
import srddl.core.helpers as sch
def _nameddict_propname(funcname):
return funcname[1:] # XXX: Assumes that the func is private (starts with _).
class _MetaNamedDict(type):
def __new__(cls, clsname, bases, namespace, **kwds):
res = super().__new__(cls, clsname, ba... | {
"repo_name": "fmichea/srddl",
"path": "srddl/core/nameddict.py",
"copies": "1",
"size": "6462",
"license": "bsd-3-clause",
"hash": 3998157128038464500,
"line_mean": 37.9277108434,
"line_max": 86,
"alpha_frac": 0.5352831941,
"autogenerated": false,
"ratio": 4.166344294003869,
"config_test": fal... |
__author__ = 'francois'
from string import Template
import sqlite3
import numpy as np
import pandas as pd
import os
def getLockFile(db):
return os.path.join(os.path.dirname(os.path.realpath(__file__)), ".%s.db_lock"%db)
class Storage(object):
def get_data(self):
pass
class ProcessedStorage(Storage):
... | {
"repo_name": "netixx/autotopo",
"path": "sims/storage.py",
"copies": "1",
"size": "14352",
"license": "apache-2.0",
"hash": -8992605481749088000,
"line_mean": 26.7065637066,
"line_max": 133,
"alpha_frac": 0.5598522854,
"autogenerated": false,
"ratio": 3.741397288842544,
"config_test": false,
... |
__author__ = 'francois'
from string import Template
import numpy as np
import collections
import textwrap
import traceback
from processing import PostFunction
import pandas as pd
import subprocess
def addExtension(path, ext):
return "%s.%s"%(path, ext)
class _GnuplotGraph(type):
counter = {}
def __new_... | {
"repo_name": "netixx/autotopo",
"path": "sims/grapher.py",
"copies": "1",
"size": "40818",
"license": "apache-2.0",
"hash": -5876283041860723000,
"line_mean": 36.1410373066,
"line_max": 173,
"alpha_frac": 0.5014209417,
"autogenerated": false,
"ratio": 3.692265943012212,
"config_test": false,
... |
__author__ = 'francois'
from string import Template
infl = Template('''<Inflow t="$t" q_per_hour="$q" v="$v" />''')
if __name__== '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--waves", type = int, help = "Number of waves of cars", default = 5)
parser.add_argument... | {
"repo_name": "netixx/autotopo",
"path": "src/main/resources/scenarios/inflow_generator.py",
"copies": "1",
"size": "1160",
"license": "apache-2.0",
"hash": 6375144696890508000,
"line_mean": 35.25,
"line_max": 93,
"alpha_frac": 0.5862068966,
"autogenerated": false,
"ratio": 3.028720626631854,
"... |
__author__ = 'francois'
class Generator(object):
def get_twitter_form(self, form):
html = """<fieldset>
<legend>FIELDSET LEGEND GOES HERE</legend>"""
for field in form.visible_fields():
field_html = TWITTER_FIELD_TEMPLATE\
.replace("****FIELD_LABEL****", field.label... | {
"repo_name": "FrancoisConstant/django-form-template-generator",
"path": "form_template_generator/generator.py",
"copies": "1",
"size": "1556",
"license": "mit",
"hash": 1693069138576662800,
"line_mean": 33.6,
"line_max": 106,
"alpha_frac": 0.5115681234,
"autogenerated": false,
"ratio": 3.5688073... |
__author__ = 'francois'
TREATMENT = "treatment"
FILE = "file"
COLS = "columns"
HIST_PARAMS = {
'min': 0,
'max': 20,
'nbins': 12
}
class _FuncHelper(type):
import numpy as np
np = np
ARRAY_FUNCS = ['hist', 'cdf', 'xy']
TUPLE_FUNCS = ['xy']
@classmethod
def cdf(cls, data):
... | {
"repo_name": "netixx/autotopo",
"path": "sims/processing.py",
"copies": "1",
"size": "6407",
"license": "apache-2.0",
"hash": 8402170574700186000,
"line_mean": 29.9516908213,
"line_max": 112,
"alpha_frac": 0.5375370688,
"autogenerated": false,
"ratio": 3.7467836257309943,
"config_test": false,... |
__author__ = 'Franco'
from django import forms
from django.contrib.auth.forms import AuthenticationForm
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit, Layout, Field,Button
from crispy_forms.bootstrap import (
PrependedText, PrependedAppendedText, FormActions)
class SimpleForm(fo... | {
"repo_name": "gusam/drnau_project",
"path": "drnau_project/home/forms.py",
"copies": "1",
"size": "1337",
"license": "mit",
"hash": -6954323352398176000,
"line_mean": 34.1578947368,
"line_max": 78,
"alpha_frac": 0.6332335329,
"autogenerated": false,
"ratio": 3.872463768115942,
"config_test": f... |
__author__ = 'Franco'
from django import forms
from .models import Project,ShowTv,Prototype,Schedule
from crispy_forms.bootstrap import FormActions
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit
class ProjectForm(forms.ModelForm):
def __init__(self,*args,**kwargs):
super... | {
"repo_name": "gusam/drnau_project",
"path": "drnau_project/project/forms.py",
"copies": "1",
"size": "2448",
"license": "mit",
"hash": 5621853113997902000,
"line_mean": 38.4516129032,
"line_max": 129,
"alpha_frac": 0.6614881439,
"autogenerated": false,
"ratio": 3.494285714285714,
"config_test"... |
__author__ = 'francusa'
import requests
import re
# Methods for making queries to ML API.
URL_BASE = "https://api.mercadolibre.com/"
def get_item(itemid, attributes=None):
"""
This method makes a GET to the items/<itemid> and
brings the JSON public info for the item.
:param itemid: the id of the it... | {
"repo_name": "jairot/meliscore",
"path": "meliscore/front/queries.py",
"copies": "1",
"size": "4010",
"license": "bsd-3-clause",
"hash": 1713103081572845600,
"line_mean": 27.041958042,
"line_max": 75,
"alpha_frac": 0.6077306733,
"autogenerated": false,
"ratio": 3.7865911237016054,
"config_test... |
__author__ = 'frankegoesdown'
from sqlalchemy import *
from time import gmtime, strftime
db = create_engine('sqlite:///base.sqlite')
connection = db.connect()
class SqlCommands:
def add_user(self, login, password):
sql = "INSERT INTO users (login, password) VALUES ('{0}', '{1}');".format(login,password)
... | {
"repo_name": "yavalvas/chess_autobahn",
"path": "orm/commands.py",
"copies": "1",
"size": "1264",
"license": "mit",
"hash": 7776730331679738000,
"line_mean": 38.5,
"line_max": 130,
"alpha_frac": 0.5759493671,
"autogenerated": false,
"ratio": 3.031175059952038,
"config_test": false,
"has_no_k... |
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